The study of BP neural network decoupling control in sulfur dioxide converter

Author

Hao, Lijun ; Wang, Zhihong ; Xue, Zengtao ; Wang, Shaohua

Author_Institution

Coll. of Electr. & Inf., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

fYear

2009

fDate

9-12 Aug. 2009

Firstpage

3102

Lastpage

3106

Abstract

Analyzed the coupling relations among each variable in the operating processes of the sulfur dioxide converter. Based on traditional PID controls we have suggested a new control algorithm of BP neural network for the temperature of decoupling control according to dynamic characteristics of multivariate, nonlinear and strong coupling system, then, an intelligent controller with decoupling ability is made up. The simulation results show that this algorithm has good control effect.

Keywords

backpropagation; chemical engineering; multivariable control systems; neurocontrollers; nonlinear control systems; three-term control; BP neural network decoupling control; PID controls; intelligent controller; multivariate coupling system; nonlinear coupling system; strong coupling system; sulfur dioxide converter; Absorption; Automation; Control systems; Mechatronics; Neural networks; Nonlinear control systems; Pipelines; Poles and towers; Temperature control; Three-term control; BP neural network; decoupling control; multivariate system; sulfur dioxide converter;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-2692-8

Electronic_ISBN

978-1-4244-2693-5

Type

conf

DOI

10.1109/ICMA.2009.5246107

Filename

5246107